AI RESEARCH
Blind PRNG Hijacking: An Undetectable Integrity-Preserving Attack Against LLM Watermarking
arXiv CS.AI
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ArXi:2605.28632v1 Announce Type: cross Cryptographic watermarking is a leading defense for attributing text generated by large language models (LLMs). Existing schemes, including KGW, Unigram, and DipMark, derive their security guarantees from the assumption that the underlying pseudo-random number generator (PRNG) is trustworthy. This work